Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation
This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three...
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/1246381 |
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doaj-8f19fd348fe64e1f876a7c0489f024e02020-11-24T21:35:58ZengHindawi-WileyComplexity1076-27871099-05262018-01-01201810.1155/2018/12463811246381Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical SimulationHengxuan Luan0Liyuan Weng1Ranhui Liu2Yuanzhong Luan3Dongmin Li4Department of Mechanical & Electronic Engineering, Shandong University of Science and Technology, Taian, ChinaCollege of Geomatics, Shandong University of Science and Technology, Qingdao, ChinaDepartment of Mechanical & Electronic Engineering, Shandong University of Science and Technology, Taian, ChinaCollege of Geomatics, Shandong University of Science and Technology, Qingdao, ChinaDepartment of Mechanical & Electronic Engineering, Shandong University of Science and Technology, Taian, ChinaThis paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements to outline the capacity of the numerical method. The results show that when contrarotating fan worked under designed speed, performance of two-stages rotors could not be matched as the designed working condition was deviated. Rotor 1 had huge influences on flow rate characteristics of a contrarotating fan. Rotor 2 was influenced by flow rates significantly. Under large flow rate condition, the power capability of rotor 2 became very weak; under working small flow rate condition, overloading would take place to class II motor. In order to solve the performance mismatch between two stages of CRF under nondesigned working conditions, under small flow rate condition, the priority shall be given to increase of the speed of rotor 1, while the speed of rotor 2 shall be reduced appropriately; under large flow rate condition, the speed of rotor 1 shall be reduced and the speed of rotor 2 shall be increased at the same time.http://dx.doi.org/10.1155/2018/1246381 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hengxuan Luan Liyuan Weng Ranhui Liu Yuanzhong Luan Dongmin Li |
spellingShingle |
Hengxuan Luan Liyuan Weng Ranhui Liu Yuanzhong Luan Dongmin Li Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation Complexity |
author_facet |
Hengxuan Luan Liyuan Weng Ranhui Liu Yuanzhong Luan Dongmin Li |
author_sort |
Hengxuan Luan |
title |
Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation |
title_short |
Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation |
title_full |
Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation |
title_fullStr |
Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation |
title_full_unstemmed |
Investigation of Speed Matching Affecting Contrarotating Fan’s Performance Using Wireless Sensor Network including Big Data and Numerical Simulation |
title_sort |
investigation of speed matching affecting contrarotating fan’s performance using wireless sensor network including big data and numerical simulation |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2018-01-01 |
description |
This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements to outline the capacity of the numerical method. The results show that when contrarotating fan worked under designed speed, performance of two-stages rotors could not be matched as the designed working condition was deviated. Rotor 1 had huge influences on flow rate characteristics of a contrarotating fan. Rotor 2 was influenced by flow rates significantly. Under large flow rate condition, the power capability of rotor 2 became very weak; under working small flow rate condition, overloading would take place to class II motor. In order to solve the performance mismatch between two stages of CRF under nondesigned working conditions, under small flow rate condition, the priority shall be given to increase of the speed of rotor 1, while the speed of rotor 2 shall be reduced appropriately; under large flow rate condition, the speed of rotor 1 shall be reduced and the speed of rotor 2 shall be increased at the same time. |
url |
http://dx.doi.org/10.1155/2018/1246381 |
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